CSV Dictionary Reader
Explore how to read CSV files as dictionaries using Python's CSV DictReader. Understand managing column headers, creating iterators for lazy data loading, and converting string data for practical use. This lesson helps you handle CSV data more effectively in Python applications.
We'll cover the following...
Overview
We can read CSV files as a sequence of strings, or as a dictionary. When we read the file as a sequence of strings, there are no special provisions for column headers. We’re forced to manage the details of which column has a particular attribute. This is unpleasantly complex, but sometimes necessary.
We can also read a CSV file so each row becomes a dictionary. We can provide a sequence of keys, or the first line of the file can provide the keys. This is relatively common, and it saves a little bit of confusion when the column headers are part of the data.
Bezdek Iris data
We’ve been looking at the Bezdek Iris data for our case study. There’s a copy of the data in the Kaggle repository. The data is also available at the U ...